Habeebullah A
This talent has passed a rigorous process of technical and soft skills interviews, system design tests, background checks, onboarding exams, and has successfully completed technical and soft skills challenges, or has demonstrated their capabilities through on-platform work.
The star rating is a representation of the overall rating, calculated as the mean of the client satisfaction rating, the average client interview rating, and internal interview scores.
The client satisfaction rating is the weighted average of client ratings, with weights based on reviewed work hours. When no client rating exists, the approval fraction (approved vs. reviewed work hours) determines it.
If the client satisfaction rating exceeds the overall rating, it becomes the star rating. In the absence of client ratings, if the average client interview rating is higher than the overall rating, it becomes the star rating. If no data is available, the star rating defaults to the internal interview score.
The client satisfaction rating is the weighted average of client ratings, with weights based on reviewed work hours. When no client rating exists, the approval fraction (approved vs. reviewed work hours) determines it.
If the client satisfaction rating exceeds the overall rating, it becomes the star rating. In the absence of client ratings, if the average client interview rating is higher than the overall rating, it becomes the star rating. If no data is available, the star rating defaults to the internal interview score.
Data Scientist Preferred Title
$31.25 /hr $ 30.0K /yr Hourly Rate and Yearly Salary
Overview
Basic Summary
LD Talent History - Worksession Approval 100.0%
- Average Response Time 4.0 hours
- Average Count of Messages/Day 4.4
- Project Completion Rate 2/4
- Interview Acceptance Rate 4/6
- Timezone Overlap 30h PST, 21h UTC
- Earned Hours 8.50
- No. of Onboarding MCQs Completed 96 More details
- Software Engineering Process 3.0/5
- Design Practice 3.0/5
- Design Theory 3.0/5
- Technical Breadth 3.0/5
- Logical Thinking 3.0/5
- Technical Strength 3.0/5
- System Design 3.0/5
- Productivity and Responsiveness 3.0/5
- Teamwork 3.0/5
- Agile Development Process 3.0/5
- Intellectual Merit 3.0/5
- English Communication 4.0/5
- Documentation 3.0/5
- Desktop Mac
- Phone iPhone
- Member Since Oct 02, 2023
- Profile Last Updated Jun 11, 2025
- Last Activity June 11, 2025, 7:23 p.m. UTC
- Location United Kingdom
Profile Summary
A creative and passionate Data Scientist with experience building data-intensive applications using data analysis and machine learning. Works with Python, Tableau, SQL, Tensor flow and Keras, QlikSense, and R. Has consistently ensured 99% on-time delivery and project completion.
Skills
Total Experience: 3+ years
Python (6E, 4Y)
6 experiences, across 4 yearsMachine learning (4E, 3Y)
4 experiences, across 3 yearsDeep Neural Networks (3E, 2Y)
3 experiences, across 2 yearsConvolutional Neural Networks (2E)
2 experiencesGoogle Colab (2E)
2 experiencesOpenCV
AWS S3
AWS Redshift
AWS Glue
Pyspark
AWS SageMaker
Databricks
Data visualization (1C)
1 courseTensorflow
SEO
Graphic Design
API Management
Open AI GPT-3
Complex Analysis
Algorithms
Data Structures (1C)
1 courseR (1C)
1 courseData Preprocessing (1C)
1 courseData-centric Architecture (1C)
1 courseData Analytics (1C)
1 courseData Cleaning (1C)
1 course
Weekly Availability
Timezone Overlap with 06 - 21 per Week: 30h PST, 21h UTC
Day
Sunday
Monday
Tuesday
Wednesday
Thursday
Friday
UTC
12 - 18
18 - 23
18 - 23
18 - 23
18 - 23
18 - 23
PST
05 - 11
11 - 16
11 - 16
11 - 16
11 - 16
11 - 16
Vetting
- Interview Data
- Software Engineering Process
- Design Practice
- Design Theory
- Technical Breadth
- Logical Thinking
- Technical Strength
- System Design
- Productivity and Responsiveness
- Teamwork
- Agile Development Process
- Intellectual Merit
- English Communication
- Documentation
Experience
Data Scientist
Employment
Feb 2025 - Jun 2025
CV Library Company
Utilites Industry
Project: Client Logs Dashboard
- Extracted, cleaned, and transformed large datasets from AWS Redshift and AWS S3 buckets using AWS SageMaker and Python, with AWS Glue ensuring high data quality and readiness for advanced analytics.
- Ported data processing code to PySpark and used Databricks to productionize the pipeline, enabling automated daily runs.
- Delivered a Quicksight dashboard powered by this pipeline, providing insights into client usage patterns and service engagement.
Data Scientist
Passion Project
Aug 2024 - Aug 2024
LD Talent Company
Technology Industry
Project: Longest Valid Parenthesis length
- Utilized a stack data structures in python to efficiently manage indices of parentheses, ensuring optimal tracking of unmatched characters.
- After some complex analysis I developed a linear time solution algorithms using stack operations to achieve O(n) time complexity.
Machine Learning Engineer
Passion Project
May 2023 - Jun 2023
Innoscripta Hackathon Company
Technology Industry
Project: Global Company Data Search Engine
- The goal was to create a product to retrieve company details of any company in the world using just the company name, country, and website URL. After researching, we found a scraping website.
- We used the Langchain framework to harness the power of Deep Neural networks and machine learning, connecting a Large Language Model (LLM) to a search API Management tool.
- Several open-source alternatives were tested, but we settled on using Open AI GPT-3 the DaVinci model with the Google Serper API and Google SerpApi, and put it all together using Python.
Data Scientist
Employment
Apr 2022 - Aug 2022
Zummit Africa Company
Technology Industry
Project: Drowsiness Detection
- Worked on the production of a drowsiness detection model that could be used to detect drowsiness in long-hour vehicle drivers, using Deep Neural Networks.
- Using Python, Google Colab, OpenCV, and media pipe we took into account the distances between their eyes and mouths to identify symptoms of drowsiness.
- A Convolutional Neural Networks machine learning alternative was also used to train on multiple pictures of drowsy, tired drivers.
Data Scientist
Internship
Feb 2022 - Apr 2022
Zummit Africa Company
Technology Industry
Project: Emotion Detection
- This project aims to identify human emotions using cameras. Deep Neural Networks such as Convolutional neural networks were used to train the data from the FErplus dataset.
- Python was the programming language used to perform the machine learning training on Google Colab in the cloud.
- Transfer learning with various neural network architectures such as Vgg16, EfficientNetB0, ResNet50, and MobileNetV2.
- In the end, a Data visualization chart shows the emotions detected throughout the video to help management easily locate points of interest such as when the customer was annoyed or happy.
LD Experience
Client Projects
Video Projects
How to implement django-tenant-schemas with a fixed URL
Sep 2020 - Jan 2022
Frontend Developer
Technology
- Python
- Machine learning
- Deep Neural Networks
- Convolutional Neural Networks
- Google Colab
- Led user research for a new construction site documentation tool.
- Hosted workshops to synthesize user insights into design requirements.
- Designed 3D concepts and built prototypes to investigate new tool form factors.
- Researched existing digital solutions and prioritized key features for app release.
LD Ventures
Thea
Sep 2020 - Jan 2022
Frontend Developer
Technology
- Python
- Machine learning
- Deep Neural Networks
- Convolutional Neural Networks
- Google Colab
- I used the Django Rest Framework to create a multi tenant API with the aid of the django-tenant-schemas package.
- I used the Postgres Database as the persistence layer and specifically the PostgreSQL Schemas to ensure that all tenants using the API had their data.
- I used the REST architecture in designing my API.
- Researched existing digital solutions and prioritized key features for app release.
Qualifications
Education
University of Ilorin [Graduation Diploma Confirmed]
Sep 2015 - Aug 2021
B.Eng (Electrical AND Electronics Engineering)
University of Salford [Attendance Transcript Confirmed]
Sep 2023 - Sep 2024
Msc (Data Science)
Courses
Reviews
Interview Reviews
AudioPatternRanger
My prompt was entirely ignored while questions that were not asked (or relevant) were answered, followed by an AI-generated blurb that made no sense.